Identity Scanner

Identity Scanner is a Zia AI-driven component that enables you to perform secure identity checks on individuals and documents by scanning and processing various ID proofs or official documents. It is a comprehensive suite that incorporates multiple functionalities divided into two major categories- E-KYC and Document Processing.

Note: Catalyst does not store any of the files you upload in its systems. The documents you upload are used for one-time processing only. They are not used for ML model training purposes either. Catalyst components are fully compliant with all applicable data protection and privacy laws.


The PASSBOOK model is a part of the Document Processing feature that enables you to process Indian bank passbooks as financial or identity proof documents. This enables you to extract fields of data from a passbook using the OCR technology, and fetch the parameters from it in the response.

Note: Document Processing is only relevant to Indian users and is only available in the IN DC. This feature will not be available to users accessing from the EU, AU, US, or CA data centers. Users outside of India from the other DCs can access the general OCR component to read and process textual content.

The Passbook model supports 11 Indian languages and an additional 8 International languages. You can check the list of languages and language codes from the API documentation.

You must provide the path to the image of the front page of the passbook, as shown in the code below.

Allowed file formats: .jpg, .jpeg, .png, .bmp, .tiff, .pdf
File size limit: 15 MB

You must specify the model type as PASSBOOK using the key modelType.

You can also optionally specify the language as shown in the code below. English will be considered as the default language, if it isn’t specified.

The response contains the bank details and account details recognized from the passbook such as the bank name, branch, address, account number. The extracted fields of information are assigned to their respective keys. The response also shows if RTGS, NEFT, and IMPS have been enabled for that account.

Note: Identity Scanner will return the response only in English, irrespective of the languages present in the passbook.

The zia reference used below is already defined in the component instance page.

img = open('sample.jpg', 'rb') result = zia.extract_optical_characters(img, {'language': 'tam', 'modelType': 'PASSBOOK'})

A sample reference is shown below :

{ text: "{ "address":"No.20,Gandhi Road,M.G Lane", "city":"Chennai", "centre":"Chennai", "bankName":"ABX BANK LIMITED", "accountNumber":"002001001625859", "branch":"Anna Nagar", "dateOfOpening":"30/08/2012", "imps":"true", "neft":"true", "district":"Chennai", "contact":"801234567", "micr":"641021121", "name":" 2312312", "state":"Tamil Nadu", "rtgs":"true", "ifsc":"ABX0000311" }" }

Last Updated 2024-01-04 12:37:42 +0530 +0530



Passbook - API Passbook